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Past presentations

22/04/21  Domain-Adversarial Training of Neural Networks
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M. and Lempitsky, V., JMLR 2016
Presented by Nikos Efthymiadis, slides, video
02/03/21  Transporter Networks: Rearranging the Visual World for Robotic Manipulation
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee, CoRL 2020
Presented by Kateryna Zorina, video, slides
25/02/21  Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie, CVPR 2019
Presented by Kang Cheng, video, slides
12/01/21  Support-set bottlenecks for video-text representation learning, Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, João Henriques, Andrea Vedaldi, ICLR 2021
Presented by Tomas Soucek, slides, video
15/12/20  SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich, CVPR 2020
Presented by Ilia Shipachev, slides, video, chat
10/12/20  Contrastive learning for visual representations - Part 2
Material: [1] [2]
Presented by Antonin Vobecky, slides, video , chat
08/12/20  Contrastive learning for visual representations - Part 1
Material: [1] [2]
Presented by Patrik Vacek, slides, video, chat
01/12/20 DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
Juan Du, Rui Wang, Daniel Cremers, ECCV 2020
Presented by Vojtěch Pánek, slides
26/11/20 Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman. ECCV 2020
Presented by Yash Patel, slides, video, chat
23/10/20 Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks
Hossein Hajimirsadeghi and Greg Mori. PAMI 2017
Presented by Dennis Baručić, slides
13/10/20 High-Frequency Component Helps Explain the Generalization of Convolutional Neural_Networks
Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing. CVPR 2020
Presented by Filip Naiser, slides, video, chat
9/09/20 PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. CVPR 2018
Presented by Michal Neoral, slides
11/06/20 Deep Hough Voting for 3D Object Detection in Point Clouds
Charles Qi, Or Litany, Kaiming He, Leonidas J. Guibas. ICCV 2019
Presented Jan Bayer, slides, video, chat
14/05/20  Variational Autoencoders with application to unsupervised representation learning
Material: main paper, VAE background, optional1, optional2
Presented by Yash Patel, slides, video, chat
14/04/20  node2vec: Scalable feature learning for networks
A. Grover, J. Leskovec. ACM SIGKDD 2016
Presented by Tomáš Nováček, slides
12/03/20 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba. ICLR 2019
Presented by Jakub Žitný, slides, video, chat
14/01/20 Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr, ECCV 2018.
Presented by Miloš Prágr, slides
09/01/20 LOGAN: Latent Optimisation for Generative Adversarial Networks
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap
Presented by Michal Šustr, slides
21/11/19 ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. Wichmann, W. Brendel, ICLR 2019
Presented by Nikos Efthymiadis, slides
05/11/19 Event-Based Motion Segmentation by Motion Compensation
T. Stoffregen, G. Gallego, T. Drummond,L. Kleeman, D. Scaramuzza. ICCV 2019
Presented by Holesovsky Ondrej, slides
12/09/19 The Inverted Multi-Index
A. Babenko and V. Lempitsky, PAMI 2014
Presented by Denis Efremov, slides
05/09/19 Video Propagation Networks
V. Jampani, R. Gadde and P. Gehler, CVPR 2017
Presented by Jonas Serych, slides
30/08/19 A General Solver Based on Sparse Resultants
I. Emiris, PoSSo 1995,
Presented by Pavel Trutman, slides
26/3/19 Dynamic Graph CNN for Learning on Point Clouds
Y. Wang, Y. Sun, Z. Liu, S. Sarma, M. Bronstein, J. Solomon, arxiv 2018,
Presented by Otakar Jašek, slides
17/1/19 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
C. Finn, P. Abbeel, S. Levine, ICML 2017,
Presented by Teymur Azayev, slides
20/11/18 Semi-supervised classification with graph convolutional networks
T. Kipf and M. Welling, ICLR 2017,
Presented by Radim Špetlík, slides
24/05/18 Fast edge detection using structured forests
P. Dollar and L. Zitnick, PAMI 2015,
Presented by Vojtěch Cvrček, slides
24/04/18 Compressed Sensing
David L. Donoho, IEEE Transacations on Information Theory, 2006
Presented by Rickard Hole Falck
27/03/18 Dynamic Routing Between Capsules
S. Sabour, N. Frosst, G. Hinton, NIPS 2017
Presented by Karel Ha, slides.
14/12/17 Deformable Convolutional Networks
J. Dai, H. Qi, Y. Xiong, Y. Li,. Zhang, H. Hu, Y. Wei, ICCV 2017
Presented by Tomáš Jeníček, slides.